Senior Data Engineer(W2 Only)

Core responsibilities • Review existing Unity Catalog table and field documentation and identify gaps, inaccuracies, and missing business context • Analyze upstream data pipelines and SQL logic to understand how data is sourced, transformed, and published • Run discovery sessions with Shruthi’s team, Tyler’s team, and my team to capture business meaning, usage context, and known data limitations • Document approved data use cases, including how specific datasets should be used for reporting, analysis, and AI/LLM scenarios • Document data restrictions, including sensitive data considerations, inappropriate use cases, and areas where definitions or quality are not strong enough for broad agent or LLM use • Help identify and structure use cases where LLMs or agents could responsibly interact with the data • Test LLM responses against documented definitions and use cases to evaluate whether outputs are accurate, safe, and grounded in the intended business context • Flag gaps in metadata, definitions, lineage, data quality, and ownership that must be addressed before wider AI enablement Skills needed • Strong SQL skills • Experience working with data lake, warehouse, or analytics environments • Ability to read and reason through data pipelines and transformation logic • Strong documentation skills, especially translating technical logic into business-friendly definitions • Comfortable leading discovery conversations with technical and business stakeholders • Familiarity with data governance, data quality, semantic definitions, and responsible AI / LLM validation is strongly preferred